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Work on large image datasets, together

Upload data and invite collaborators.Visualize, annotate and quantify.Publish your data alongside your publication.

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Use cases

By role

WEBKNOSSOS makes it easy to work together with massive image datasets.

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Biologists

Share your raw data. Analyze, measure and annotate your data. Publish data alongside your paper.

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Data scientists

Collaborate with domain experts. Generate training data. Visualize predictions and segmentations.

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Imaging facilities

Securely share image data with collaborators. Manage massive collections of datasets. Start your analysis online.

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Lab leaders

Make it easy for your team to collaborate. Manage annotation projects. Publish data alongside your paper.

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Educators

Show your class published datasets. Have your students annotate neural data.

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Looking for 3D image alignment?

Check out our alignment services. Pre-process your large-scale 2D and 3D microscopy datasets. Automate tasks such as Alignment, Registration, Stitching, Gradient Correction, and Normalization.

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By field

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Neuroscience

Visualize and analyze neural tissue. Access and annotate data from anywhere in your browser. Segment collaboratively. 

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Connectomics

Reconstruct the brain's cells and map their connections. Generate ground truth for your Machine Learning model.  

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Cell biology

Visualize your biological data, segment & analyze cells. Segment data collaboratively using volume and skeleton annotation tools. 

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Volume EM

Share and organize large 3D datasets in one place. Import your data and send secured links to your collaborators with access control.

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Looking for Neuron and Connectome reconstruction?

Check out our image analysis services for neuron and connectome reconstructions from volume EM data. Automate tasks such as image alignment, registration, dense segmentation, and object detection.

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WEBKNOSSOS has been published in: “WEBKNOSSOS: efficient online 3D data annotation for connectomics”Boergens, Berning, Bocklisch, Bräunlein, Drawitsch, Frohnhofen, Herold, Otto, Rzepka, Werkmeister, Werner, Wiese, Wissler & Helmstaedter. Nature Methods (2017) 14, 691–694.
Contact us at gro.sossonkbew%40olleh. 





WEBKNOSSOS has been published in: “WEBKNOSSOS: efficient online 3D data annotation for connectomics”Boergens, Berning, Bocklisch, Bräunlein, Drawitsch, Frohnhofen, Herold, Otto, Rzepka, Werkmeister, Werner, Wiese, Wissler & Helmstaedter. Nature Methods (2017) 14, 691–694.
Contact us at gro.sossonkbew%40olleh.